Introduction to gap minder

With the Ignorance Project we identify the specific global statistical trends that have not reached a broad public audience.

print("hello world")
## [1] "hello world"

eval = false, print chunk but wont evaluate, eg.g when you are installing packages echo = false, run the code but don’t show me the code

# gap minder download package

install gapminder package

install.packages("gapminder")

also install skimr, plotly, DT

install.packages(c("skimr", "plotly", "DT"))

plot

library(gapminder)
## Warning: package 'gapminder' was built under R version 3.5.3
gapminder
## # A tibble: 1,704 x 6
##    country     continent  year lifeExp      pop gdpPercap
##    <fct>       <fct>     <int>   <dbl>    <int>     <dbl>
##  1 Afghanistan Asia       1952    28.8  8425333      779.
##  2 Afghanistan Asia       1957    30.3  9240934      821.
##  3 Afghanistan Asia       1962    32.0 10267083      853.
##  4 Afghanistan Asia       1967    34.0 11537966      836.
##  5 Afghanistan Asia       1972    36.1 13079460      740.
##  6 Afghanistan Asia       1977    38.4 14880372      786.
##  7 Afghanistan Asia       1982    39.9 12881816      978.
##  8 Afghanistan Asia       1987    40.8 13867957      852.
##  9 Afghanistan Asia       1992    41.7 16317921      649.
## 10 Afghanistan Asia       1997    41.8 22227415      635.
## # ... with 1,694 more rows
library(ggplot2)
## Warning: package 'ggplot2' was built under R version 3.5.3
p <- ggplot(gapminder, aes(x= gdpPercap, y = lifeExp, color = continent))+
  geom_point()
p

library(plotly)
## Warning: package 'plotly' was built under R version 3.5.3
## 
## Attaching package: 'plotly'
## The following object is masked from 'package:ggplot2':
## 
##     last_plot
## The following object is masked from 'package:stats':
## 
##     filter
## The following object is masked from 'package:graphics':
## 
##     layout
ggplotly(p)